| 1 |
New prognosis approach for preventive and predictive maintenance - Application to a distillation column
Daher A, Hoblos G, Khalil M, Chetouani Y
Chemical Engineering Research & Design, 153, 162, 2020 |
| 2 |
Remaining useful life prediction of lithium-ion battery based on extended Kalman particle filter
Duan B, Zhang Q, Geng F, Zhang CH
International Journal of Energy Research, 44(3), 1724, 2020 |
| 3 |
A novel remaining useful life prediction framework for lithium-ion battery using grey model and particle filtering
Chen L, Wang HM, Chen J, An JJ, Ji B, Lyu ZQ, Cao WP, Pan HH
International Journal of Energy Research, 44(9), 7435, 2020 |
| 4 |
Multi-objective decision analysis for data-driven based estimation of battery states: A case study of remaining useful life estimation
Zhang SZ, Guo X, Zhang XW
International Journal of Hydrogen Energy, 45(27), 14156, 2020 |
| 5 |
A hybrid DBN-SOM-PF-based prognostic approach of remaining useful life for wind turbine gearbox
Pan YB, Hong RJ, Chen J, Wu WW
Renewable Energy, 152, 138, 2020 |
| 6 |
Remaining useful life estimation for proton exchange membrane fuel cells using a hybrid method
Liu H, Chen J, Hissel D, Su HY
Applied Energy, 237, 910, 2019 |
| 7 |
Degradation model and cycle life prediction for lithium-ion battery used in hybrid energy storage system
Liu C, Wang YJ, Chen ZH
Energy, 166, 796, 2019 |
| 8 |
A coulombic efficiency-based model for prognostics and health estimation of lithium-ion batteries
Yang FF, Song XB, Dong GZ, Tsui KL
Energy, 171, 1173, 2019 |
| 9 |
An indirect RUL prognosis for lithium-ion battery under vibration stress using Elman neural network
Li WH, Jiao ZP, Du L, Fan WY, Zhu YZ
International Journal of Hydrogen Energy, 44(23), 12270, 2019 |
| 10 |
Remaining useful life prediction of PEMFC based on long short-term memory recurrent neural networks
Liu JW, Li Q, Chen WR, Yan Y, Qiu YB, Cao TQ
International Journal of Hydrogen Energy, 44(11), 5470, 2019 |
